Title :
Supersystolic arrays on large-scale FPGA structures
Author :
Kittitornkun, Surin ; Hu, Yu Hen
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
A system-on-a-chip with reconfigurable hardware such as SRAM-based FPGAs is evidently suitable for several applications on wearable computers. However, interconnect delay of current state-of-the-art FPGAs dominates the logic delay with relatively high power consumption. To counterbalance these two problems while maintaining desirable performance, voltage downscaling and fine-grained pipelining have been suggested. In this paper, we propose a pipelining methodology to utilize intra-iteration parallelism of a systolic-like array realized in a multi million-gate FPGA. This results in not only enhanced throughput but also much higher hardware utilization. Thus, we call it the supersystolic array.
Keywords :
VLSI; delays; digital signal processing chips; field programmable gate arrays; flow graphs; image matching; pipeline processing; stereo image processing; system-on-chip; systolic arrays; wearable computers; SRAM-based FPGAs; SoC; VLSI implementation; execution flow graph; fine-grained pipelining; interconnect delay; intra-PE pipelining; large-scale FPGA structures; logic delay; multimillion-gate FPGA; optimization problem; parallel processing; processor array mapping; stereo matching processor array; supersystolic array; system-on-a-chip; voltage downscaling; wearable computers; Application software; Delay; Field programmable gate arrays; Hardware; Large-scale systems; Pipeline processing; Power system interconnection; Reconfigurable logic; System-on-a-chip; Wearable computers;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206084